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Markov Models Audiobook

Markov Models: Understanding Data Science, Markov Models, and Unsupervised Machine Learning in Python

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Publisher's Summary

Do you want to master data science? Want to learn how machine learning systems can carry out multifaceted processes by learning from data? How about understand Markov models and how they can help your correctly forecast future events? Want to explore practical implementations of Markov models in a Python programming environment? Then you should download your copy today. The aim of machine learning is to train the computers or machine to learn on its own and make informed decisions in a relatively shorter time than what human beings can do. The primary objective of this audiobook is to provide you with all the ins and outs of Markov models, and unsupervised machine learning over a range of multi-faceted applications. Specifically, the audiobook will explore practical implementations of Markov models in a Python programming environment.

You'll discover:

  • Types of machine learning algorithms
  • The mathematics behind Markov algorithms
  • Application of Markov models in python programming

Application of Markov models in:

  • Gaming
  • Speech recognition
  • Weather reporting
  • And much much more!

Download your copy today to gain a huge advantage over your competitors.

©2017 Duo (Code) (P)2017 Duo (Code)

What Members Say

Average Customer Rating

4.9 (11 )
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Performance
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  •  
    joseph 09-03-17
    joseph 09-03-17
    HELPFUL VOTES
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    "EXTRAORDINARY"
    Would you consider the audio edition of Markov Models to be better than the print version?

    Yes, it very easy and very useful than print version


    Which character – as performed by Zachary Sielaff – was your favorite?

    Book and good for everyone. I loved it and recommended all.


    Did you have an extreme reaction to this book? Did it make you laugh or cry?

    No


    Any additional comments?

    Great writing. The author Duo Code shows us here what is Markov Models, how it works, how it helps in algorithm, Hidden Markov Models etc. This book helps me a lot to understand Markov Models. This is a very good book about what Markov models is and how it operates. It is a quick read and to the point. Get some background insight on what machines can learn on their own and how it is applied in practical life.

    0 of 1 people found this review helpful
  •  
    gavin 09-03-17
    gavin 09-03-17
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    "Awesome book for Computer Science Students !!!!"
    If you could sum up Markov Models in three words, what would they be?

    Awesome book


    Have you listened to any of Zachary Sielaff’s other performances before? How does this one compare?

    No i will not compare bcoz this is my first book.


    Any additional comments?

    This books gives a great insight into the future of computing. It steps away from computer programming, and gives a fantastic overview on algorithms and how they work. This book explained the basic concepts to me in a nice and compact way. it is an absolute beginner's book after all.

    0 of 1 people found this review helpful
  •  
    Elizabeth 09-02-17
    Elizabeth 09-02-17
    HELPFUL VOTES
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    "Great information!"

    This is an informative guide for the reader indeed. The Markov models give amazing flexibility in arranging of events. In this book you'll learn how to deal with impossible machine learning issues in a short period of time. I have the tools, code, and processes predicted that would acceptably use Markov Models for any event. I recommend this book.

    0 of 1 people found this review helpful
  •  
    rabhia 09-02-17
    rabhia 09-02-17
    HELPFUL VOTES
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    "A Great book to decode data science"

    Untangle complex data confusions with the mathematical model called markov models. Markov models makes use of probability to be able to make predictions on what the future state of - for an example - the weather, might be. Different tools and codes are discussed.

    This book will appeal to all readers interested in Markov software.

    0 of 1 people found this review helpful
  •  
    Aaliyah 08-31-17
    Aaliyah 08-31-17
    HELPFUL VOTES
    57
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    "This book is very well researched."

    This was a solid quick start to understanding the fundamentals of markov models. Whatever this book explains is precise and clear.There wasn't a time when listening the book where I was confused.It was a fairly quick read and I learned a lot.

    0 of 1 people found this review helpful
  •  
    abram 08-31-17
    abram 08-31-17
    HELPFUL VOTES
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    "Easy to follow."
    Would you recommend this audiobook to a friend? If so, why?

    This is a wide topic to discuss, I bought a book that would summarize the whole discussion and this book has given me a lot of information. Yes i'll...


    What was one of the most memorable moments of Markov Models?

    Only few people are studying about data science because this is composed of complex and tons of deep discussion if you are not good at analyzing then you cannot be here


    Did you have an extreme reaction to this book? Did it make you laugh or cry?

    No


    Any additional comments?

    Algorithms are easy if you just memorized the formulas that provided like the probability axioms. Analyzing each formula will make it easier for you to understand the problem.

    0 of 1 people found this review helpful
  •  
    james 08-30-17
    james 08-30-17
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    "learn a lot from this book"
    Any additional comments?

    Markov models provide great flexibility in modelling the timing of events. They can be applied when simple parametric time-based models, such as exponential or python and its algorithm and time-to-failure models, are not sufficient to describe the dynamic aspects of a system's reliability or availability behavior; as may be the case for systems incorporating standby redundancy..Anyway,I am going to read this book again for a better and clearer understanding..This is my first time to encounter Markov models and this book satisfy my curiosity

    0 of 1 people found this review helpful
  •  
    Riswana 08-27-17
    Riswana 08-27-17
    HELPFUL VOTES
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    "Recommended"

    This is an informative guide for the reader indeed. The Markov models give amazing flexibility in arranging of events. In this book you'll learn how to deal with impossible machine learning issues in a short period of time. I have the tools, code, and processes predicted that would acceptably use Markov Models for any event. I recommend this book.

    0 of 1 people found this review helpful
  •  
    patrick 08-27-17
    patrick 08-27-17
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    "Useful guide"

    It looks like Artificial Intellect is the next step in human technologies development. Yep, as for me, unsupervised learning of computers is a pretty similar to human brain functioning. Analyzing each formula will make it easier for you to understand the problem

    0 of 1 people found this review helpful
  •  
    sharmila 08-27-17
    sharmila 08-27-17
    HELPFUL VOTES
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    "Great book"

    It is an unusual book! Markov Models give me new knowledge in various fields. This book provides general information and how to use it in real life. To my mind, it will suit everyone who wants to know more and seeks self-development. This book is not easy, but very interesting and useful. I first read about such models. This is quite interesting. I learned Markov Models from this book.

    0 of 2 people found this review helpful

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